{ "cells": [ { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "题号: 021519 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t1.000\t0.975\t0.700\t0.750\n", "题号: 021520 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t0.875\t0.925\t0.925\t0.950\n", "题号: 021521 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t0.650\n", "题号: 021522 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t0.775\n", "题号: 021523 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t1.000\n", "题号: 021524 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t0.887\n", "题号: 021525 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t0.838\n", "题号: 021526 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t0.900\t0.750\t0.925\n", "题号: 021527 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t0.925\t0.775\t0.825\t0.650\n", "题号: 021528 , 字段: usages 中已添加数据: 20230224\t2025届高一11班\t0.975\t0.975\n", "题号: 021519 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t1.000\t0.947\t0.711\t0.789\n", "题号: 021520 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.868\t0.974\t0.974\t0.895\n", "题号: 021521 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.474\n", "题号: 021522 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.789\n", "题号: 021523 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.895\n", "题号: 021524 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.921\n", "题号: 021525 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.882\n", "题号: 021526 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.895\t0.842\t0.947\n", "题号: 021527 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.921\t0.605\t0.789\t0.605\n", "题号: 021528 , 字段: usages 中已添加数据: 20230224\t2025届高一12班\t0.895\t0.829\n", "题号: 021519 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.917\t0.861\t0.500\t0.472\n", "题号: 021520 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.833\t0.917\t0.889\t0.833\n", "题号: 021521 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.417\n", "题号: 021522 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.750\n", "题号: 021523 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.986\n", "题号: 021524 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.708\n", "题号: 021525 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.792\n", "题号: 021526 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.722\t0.444\t0.639\n", "题号: 021527 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.750\t0.583\t0.528\t0.444\n", "题号: 021528 , 字段: usages 中已添加数据: 20230224\t2025届高一01班\t0.639\t0.625\n", "题号: 021519 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.914\t0.857\t0.571\t0.429\n", "题号: 021520 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.857\t0.800\t0.914\t0.743\n", "题号: 021521 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.629\n", "题号: 021522 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.743\n", "题号: 021523 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.829\n", "题号: 021524 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.700\n", "题号: 021525 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.514\n", "题号: 021526 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.686\t0.343\t0.943\n", "题号: 021527 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.714\t0.657\t0.514\t0.400\n", "题号: 021528 , 字段: usages 中已添加数据: 20230224\t2025届高一04班\t0.543\t0.429\n", "题号: 021519 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.974\t0.923\t0.769\t0.718\n", "题号: 021520 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.949\t0.872\t0.872\t0.923\n", "题号: 021521 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.667\n", "题号: 021522 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.846\n", "题号: 021523 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.795\n", "题号: 021524 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.744\n", "题号: 021525 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.692\n", "题号: 021526 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.744\t0.615\t0.923\n", "题号: 021527 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.692\t0.718\t0.590\t0.410\n", "题号: 021528 , 字段: usages 中已添加数据: 20230224\t2025届高一05班\t0.577\t0.423\n", "题号: 021519 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.879\t0.788\t0.394\t0.485\n", "题号: 021520 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.849\t0.879\t0.879\t0.727\n", "题号: 021521 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.697\n", "题号: 021522 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.606\n", "题号: 021523 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.864\n", "题号: 021524 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.803\n", "题号: 021525 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.742\n", "题号: 021526 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.667\t0.455\t0.879\n", "题号: 021527 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.727\t0.576\t0.424\t0.273\n", "题号: 021528 , 字段: usages 中已添加数据: 20230224\t2025届高一06班\t0.667\t0.515\n", "题号: 021519 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t1.000\t0.939\t0.576\t0.424\n", "题号: 021520 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.697\t0.849\t0.849\t0.788\n", "题号: 021521 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.515\n", "题号: 021522 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.758\n", "题号: 021523 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.849\n", "题号: 021524 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.727\n", "题号: 021525 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.515\n", "题号: 021526 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.818\t0.576\t0.939\n", "题号: 021527 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.939\t0.636\t0.485\t0.515\n", "题号: 021528 , 字段: usages 中已添加数据: 20230224\t2025届高一08班\t0.773\t0.530\n", "题号: 021519 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t1.000\t0.892\t0.676\t0.595\n", "题号: 021520 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.919\t0.811\t0.973\t0.784\n", "题号: 021521 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.622\n", "题号: 021522 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.649\n", "题号: 021523 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.811\n", "题号: 021524 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.676\n", "题号: 021525 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.703\n", "题号: 021526 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.892\t0.622\t0.919\n", "题号: 021527 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.973\t0.703\t0.540\t0.568\n", "题号: 021528 , 字段: usages 中已添加数据: 20230224\t2025届高一09班\t0.878\t0.716\n" ] } ], "source": [ "import os,re,json\n", "\n", "\"\"\"---明确数据文件位置---\"\"\"\n", "datafile = \"文本文件/metadata.txt\"\n", "# 双回车分隔,记录内单回车分隔列表,首行为字段名\n", "\"\"\"---文件位置结束---\"\"\"\n", "\n", "def trim(string):\n", " string = re.sub(r\"^[ \\t\\n]*\",\"\",string)\n", " string = re.sub(r\"[ \\t\\n]*$\",\"\",string)\n", " return string\n", "def FloatToInt(string):\n", " f = float(string)\n", " if abs(f-round(f))<0.01:\n", " f = round(f)\n", " return f\n", "\n", "with open(datafile,\"r\",encoding=\"utf8\") as f:\n", " data = f.read().strip()\n", "pos = data.index(\"\\n\")\n", "field = data[:pos].strip()\n", "appending_data = data[pos:]\n", "\n", "with open(r\"../题库0.3/Problems.json\",\"r\",encoding = \"utf8\") as f:\n", " database = f.read()\n", "pro_dict = json.loads(database)\n", "with open(r\"../题库0.3/LessonObj.json\",\"r\",encoding = \"utf8\") as f:\n", " database = f.read()\n", "obj_dict = json.loads(database)\n", "\n", "#该字段列表可能需要更新\n", "fields = [\"content\",\"objs\",\"tags\",\"genre\",\"ans\",\"solution\",\"duration\",\"usages\",\"origin\",\"edit\",\"same\",\"related\",\"remark\",\"space\"]\n", "\n", "if field in fields:\n", " field_type = type(pro_dict[\"000001\"][field])\n", " datalist = [record.strip() for record in appending_data.split(\"\\n\\n\") if len(trim(record)) > 0]\n", " for record in datalist:\n", " id = re.findall(r\"^[\\d]{1,}\",record)[0]\n", " data = record[len(id):].strip()\n", " id = id.zfill(6)\n", " if not id in pro_dict:\n", " print(\"题号:\",id,\"不在数据库中.\")\n", " break\n", " \n", " #字符串类型字段添加数据\n", " elif field_type == str and data in pro_dict[id][field]:\n", " print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",data)\n", " elif field_type == str and not data in pro_dict[id][field] and not field == \"ans\" and not field == \"space\":\n", " origin_data = pro_dict[id][field]\n", " new_data = trim(origin_data + \"\\n\" + data)\n", " pro_dict[id][field] = new_data\n", " print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",data)\n", " elif field_type == str and not data in pro_dict[id][field] and field == \"ans\" or field == \"space\":\n", " pro_dict[id][field] = data\n", " print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",data)\n", " \n", " #数值类型字段添加数据\n", " elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])<0.01:\n", " print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",FloatToInt(data))\n", " elif (field_type == int or field_type == float) and abs(float(data) - pro_dict[id][field])>=0.01:\n", " pro_dict[id][field] = FloatToInt(data)\n", " print(\"题号:\",id,\", 字段:\",field,\"中已修改数据:\",FloatToInt(data))\n", " \n", " #列表类型字段添加数据\n", " elif field_type == list:\n", " cell_data_list = [d.strip() for d in data.split(\"\\n\")]\n", " for cell_data in cell_data_list:\n", " if cell_data in pro_dict[id][field]:\n", " print(\"题号:\",id,\", 字段:\",field,\"中已有该数据:\",cell_data)\n", " elif not field == \"objs\":\n", " pro_dict[id][field].append(cell_data)\n", " print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data)\n", " else:\n", " if not cell_data in obj_dict and not cell_data.upper() == \"KNONE\":\n", " print(\"题号:\",id,\", 字段:\",field,\"目标编号有误:\",cell_data)\n", " else:\n", " pro_dict[id][field].append(cell_data.upper())\n", " print(\"题号:\",id,\", 字段:\",field,\"中已添加数据:\",cell_data.upper())\n", "\n", "with open(r\"../题库0.3/Problems.json\",\"w\",encoding = \"utf8\") as f:\n", " f.write(json.dumps(pro_dict,indent=4,ensure_ascii=False))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "mathdept", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.15" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "ff3c292c316ba85de6f1ad75f19c731e79d694e741b6f515ec18f14996fe48dc" } } }, "nbformat": 4, "nbformat_minor": 2 }